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Titlebook: Decision-Making for Supply Chain Integration; Supply Chain Integra Hing Kai Chan,Fiona Lettice,Olatunde Amoo Durowoju Book 2012 Springer-Ve

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發(fā)表于 2025-3-21 19:50:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Decision-Making for Supply Chain Integration
副標(biāo)題Supply Chain Integra
編輯Hing Kai Chan,Fiona Lettice,Olatunde Amoo Durowoju
視頻videohttp://file.papertrans.cn/265/264343/264343.mp4
概述Allows readers to understand more about recent developments in the area of distributed or decentralised decision-making problems for supply chain integration.Provides readers with insights on the tool
叢書(shū)名稱Decision Engineering
圖書(shū)封面Titlebook: Decision-Making for Supply Chain Integration; Supply Chain Integra Hing Kai Chan,Fiona Lettice,Olatunde Amoo Durowoju Book 2012 Springer-Ve
描述.Effective supply chain integration, and the tight co-ordination it creates, is an essential pre-requisite for successful supply chain management.? .Decision-Making for Supply Chain Integration. is a practical reference on recent research in the area of supply chain integration focusing on distributed decision-making problems. Recent applications of various decision-making tools for integrating supply chains are covered including chapters focusing on:.Supplier selection, pricing strategy and inventory decisions in multi-level supply chains,.RFID-enabled distributed decision-making,.Operational risk issues and time-critical decision-making for sensitive logistics nodes, Modelling end to end processes to improve supply chain integration, and.Integrated systems to improve service delivery and optimize resource use..Decision-Making for Supply Chain Integration. provides an insight into the tools and methodologies of this field with support from real-life case studies demonstrating successful application of various decision-making techniques. By covering such a range of topics in this way, .Decision-Making for Supply Chain Integration. is a useful reference for researchers looking to de
出版日期Book 2012
關(guān)鍵詞Complex Adaptive Systems; Decision Making; Distributed Scheduling; Supply Chain; Virtual Organization; En
版次1
doihttps://doi.org/10.1007/978-1-4471-4033-7
isbn_softcover978-1-4471-5879-0
isbn_ebook978-1-4471-4033-7Series ISSN 1619-5736 Series E-ISSN 2197-6589
issn_series 1619-5736
copyrightSpringer-Verlag London 2012
The information of publication is updating

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Order Fulfillment: A Key to Supply Chain Integration,lised decision making and management tools and techniques that will improve supply chain integration outcomes in complex supply chains as well as providing opportunities for companies with limited integration.
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Different Spaces: Beckett, Deleuze, Bergsonf life features. The proposed model is evaluated through different pricing strategies to exploit the benefits from utilising accurate product shelf life information captured through innovated tracking and monitoring technologies. Numerical analysis is conducted in an illustrative case study.
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https://doi.org/10.1057/9781137480804onsequences of cost disturbances during outsourcing we carried out five case studies with leading UK engineering firms. A resulting ‘disturbance’ framework seeks to assist in capturing the cost of risk and uncertainty in an outsourcing context.
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Aufgabendelegation in der Verwaltungr engineering scope, highlights all steps necessary to integrate the dynamic behaviour into the domain meta-model built according to the multi-agent technology. In this perspective, this chapter describes the outcome of these artefacts from the study of the domain through the agentification process, to the implementation of the knowledge model.
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https://doi.org/10.1007/978-981-15-2140-9intensity and so reduce the pollution caused by the commercial logistics processes thereby increasing ‘the quality of life’ for residents, commuters and tourists. This chapter offers an outline of the project from its conception to the current evolution—as it is still ongoing at the time of writing in mid-2011.
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A Generic Knowledge Model for SME Supply Chain Based on Multiagent Paradigm,r engineering scope, highlights all steps necessary to integrate the dynamic behaviour into the domain meta-model built according to the multi-agent technology. In this perspective, this chapter describes the outcome of these artefacts from the study of the domain through the agentification process, to the implementation of the knowledge model.
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